Kimi Open Platform, Amazon Bedrock Knowledge Bases, Amazon OpenSearch Serverless vs Azure AI Search

The registry records Kimi Open Platform as available only on vendor_api; it is scored here as a model vendor's API.

The registry records Amazon Bedrock Knowledge Bases as available on vendor cloud or private cloud; it is scored here as enterprise SaaS.

The registry records Amazon OpenSearch Serverless as available on vendor cloud or private cloud; it is scored here as enterprise SaaS.

The registry records Azure AI Search as available on vendor cloud or private cloud; it is scored here as enterprise SaaS.

For this brief — confidential documents — a model vendor's API is a strong alternative. Change the brief and this verdict changes.

For this brief — confidential documents — enterprise SaaS is conditional: worth it only if the conditions in the options section hold. Change the brief and this verdict changes.

For this brief — confidential documents — enterprise SaaS is conditional: worth it only if the conditions in the options section hold. Change the brief and this verdict changes.

For this brief — confidential documents — enterprise SaaS is conditional: worth it only if the conditions in the options section hold. Change the brief and this verdict changes.

Kimi Open Platform is a platform for running a model you choose, not a product built for one job, so there is no use-case overlap to measure — what it does depends on what you build on it. The fit that can be assessed is the deployment's, in the rows below.

Amazon Bedrock Knowledge Bases is a platform for running a model you choose, not a product built for one job, so there is no use-case overlap to measure — what it does depends on what you build on it. The fit that can be assessed is the deployment's, in the rows below.

Amazon OpenSearch Serverless is a platform for running a model you choose, not a product built for one job, so there is no use-case overlap to measure — what it does depends on what you build on it. The fit that can be assessed is the deployment's, in the rows below.

Azure AI Search is a platform for running a model you choose, not a product built for one job, so there is no use-case overlap to measure — what it does depends on what you build on it. The fit that can be assessed is the deployment's, in the rows below.

You stated no hosting preference, so no option is favoured on that basis. No hard restriction on where processing happens was stated. The model runs through the vendor’s API. Your application may use your existing cloud, but the vendor’s processing location and terms need separate review.

You stated no hosting preference, so no option is favoured on that basis. No hard restriction on where processing happens was stated. This is a vendor-operated service. Your cloud account does not determine where it runs; confirm the vendor’s data processing and integration with your existing systems.

You stated no hosting preference, so no option is favoured on that basis. No hard restriction on where processing happens was stated. This is a vendor-operated service. Your cloud account does not determine where it runs; confirm the vendor’s data processing and integration with your existing systems.

You stated no hosting preference, so no option is favoured on that basis. No hard restriction on where processing happens was stated. This is a vendor-operated service. Your cloud account does not determine where it runs; confirm the vendor’s data processing and integration with your existing systems.

External data transfer: yes. No catalogue deployment names Kimi Open Platform, so this is read from “Assistant on a model vendor’s API”, the best-matching a model vendor's API deployment for this brief. Confidential content leaves your control on the Retrieval layer → Vendor model API link.

External data transfer: yes. No catalogue deployment names Amazon Bedrock Knowledge Bases, so this is read from “Enterprise SaaS assistant with governance controls”, the best-matching enterprise SaaS deployment for this brief. Confidential content leaves your control on the Employees → Vendor assistant (web and desktop clients) link.

External data transfer: yes. No catalogue deployment names Amazon OpenSearch Serverless, so this is read from “Enterprise SaaS assistant with governance controls”, the best-matching enterprise SaaS deployment for this brief. Confidential content leaves your control on the Employees → Vendor assistant (web and desktop clients) link.

External data transfer: yes. No catalogue deployment names Azure AI Search, so this is read from “Enterprise SaaS assistant with governance controls”, the best-matching enterprise SaaS deployment for this brief. Confidential content leaves your control on the Employees → Vendor assistant (web and desktop clients) link.

We hold no fetched residency commitment for Kimi Open Platform. That is a question to put to the vendor, not an assumption to make about them. The vendor is headquartered in China (mainland), which is where a transfer question starts, not where it ends.

We have fetched a supported-countries page for Amazon Bedrock Knowledge Bases, which says where the product may be bought — not where content is processed or stored. No residency commitment has been read, so the residency question is unknown. The vendor is headquartered in United States, which is where a transfer question starts, not where it ends.[1]

We have fetched a supported-countries page for Amazon OpenSearch Serverless, which says where the product may be bought — not where content is processed or stored. No residency commitment has been read, so the residency question is unknown. The vendor is headquartered in United States, which is where a transfer question starts, not where it ends.[1]

We have fetched a supported-countries page for Azure AI Search, which says where the product may be bought — not where content is processed or stored. No residency commitment has been read, so the residency question is unknown. The vendor is headquartered in United States, which is where a transfer question starts, not where it ends.[2]

We have fetched none of the four commitments for Kimi Open Platform: data processing agreement, subprocessor list, training on customer data, zero retention option. Each is a question for the vendor, and until it is answered it is unknown rather than absent.

Published and fetched: data processing agreement, subprocessor list. Still open: training on customer data, zero retention option — ask the vendor.[3][4]

Published and fetched: data processing agreement, subprocessor list. Still open: training on customer data, zero retention option — ask the vendor.[3][4]

Published and fetched: data processing agreement, subprocessor list. Still open: training on customer data, zero retention option — ask the vendor.[5][6]

5–14 FDE-days to implement. No catalogue deployment names Kimi Open Platform, so this is read from “Assistant on a model vendor’s API”, the best-matching a model vendor's API deployment for this brief.

4–12 FDE-days to implement. No catalogue deployment names Amazon Bedrock Knowledge Bases, so this is read from “Enterprise SaaS assistant with governance controls”, the best-matching enterprise SaaS deployment for this brief.

4–12 FDE-days to implement. No catalogue deployment names Amazon OpenSearch Serverless, so this is read from “Enterprise SaaS assistant with governance controls”, the best-matching enterprise SaaS deployment for this brief.

4–12 FDE-days to implement. No catalogue deployment names Azure AI Search, so this is read from “Enterprise SaaS assistant with governance controls”, the best-matching enterprise SaaS deployment for this brief.

You own the identity integration and joiner/leaver process, the connectors and their credentials, operating-system patching and backups. Assessed difficulty 2/5 is the shape of that work; someone has to hold it after go-live.

The vendor runs the service. Your standing work is access control, the policy staff work under, and re-reading the contract and subprocessor list when they change — not patching or capacity.

The vendor runs the service. Your standing work is access control, the policy staff work under, and re-reading the contract and subprocessor list when they change — not patching or capacity.

The vendor runs the service. Your standing work is access control, the policy staff work under, and re-reading the contract and subprocessor list when they change — not patching or capacity.

2/5. Starting point 2/5: software you install, run and keep running on your own machines. -0.5 The model runs on the vendor’s infrastructure: there is no capacity planning, no GPU driver, no model upgrade window and no failover for you to design.

2/5. Starting point 1/5: a vendor product, configured rather than installed. +0.5 Single sign-on adds an identity provider, group-to-role mapping and a joiner/leaver process to the deployment.

2/5. Starting point 1/5: a vendor product, configured rather than installed. +0.5 Single sign-on adds an identity provider, group-to-role mapping and a joiner/leaver process to the deployment.

2/5. Starting point 1/5: a vendor product, configured rather than installed. +0.5 Single sign-on adds an identity provider, group-to-role mapping and a joiner/leaver process to the deployment.

USD 3,800 – 27,000 — one-off — for Kimi Open Platform at this headcount. No catalogue deployment names Kimi Open Platform, so this is read from “Assistant on a model vendor’s API”, the best-matching a model vendor's API deployment for this brief.

USD 3,100 – 23,000 — one-off — for Amazon Bedrock Knowledge Bases at this headcount. No catalogue deployment names Amazon Bedrock Knowledge Bases, so this is read from “Enterprise SaaS assistant with governance controls”, the best-matching enterprise SaaS deployment for this brief. Licences are not in that figure: no per-seat price has been read from the vendor’s own pricing page, so the software line is excluded from the total rather than guessed. Read it as implementation only.

USD 3,100 – 23,000 — one-off — for Amazon OpenSearch Serverless at this headcount. No catalogue deployment names Amazon OpenSearch Serverless, so this is read from “Enterprise SaaS assistant with governance controls”, the best-matching enterprise SaaS deployment for this brief. Licences are not in that figure: no per-seat price has been read from the vendor’s own pricing page, so the software line is excluded from the total rather than guessed. Read it as implementation only.

USD 3,100 – 23,000 — one-off — for Azure AI Search at this headcount. No catalogue deployment names Azure AI Search, so this is read from “Enterprise SaaS assistant with governance controls”, the best-matching enterprise SaaS deployment for this brief. Licences are not in that figure: no per-seat price has been read from the vendor’s own pricing page, so the software line is excluded from the total rather than guessed. Read it as implementation only.

Kimi Open Platform is a vendor product: you configure what the vendor exposes — policies, connectors, retention settings — and nothing below that line.

Amazon Bedrock Knowledge Bases is a vendor product: you configure what the vendor exposes — policies, connectors, retention settings — and nothing below that line.

Amazon OpenSearch Serverless is a vendor product: you configure what the vendor exposes — policies, connectors, retention settings — and nothing below that line.

Azure AI Search is a vendor product: you configure what the vendor exposes — policies, connectors, retention settings — and nothing below that line.

8 issues spotted for this brief, 0 of them legal requirements; 0 carry a quote from the instrument they rest on. Leading with: Confidentiality duties bind independently of data protection law.

8 issues spotted for this brief, 0 of them legal requirements; 0 carry a quote from the instrument they rest on. Leading with: Confidentiality duties bind independently of data protection law.

8 issues spotted for this brief, 0 of them legal requirements; 0 carry a quote from the instrument they rest on. Leading with: Confidentiality duties bind independently of data protection law.

8 issues spotted for this brief, 0 of them legal requirements; 0 carry a quote from the instrument they rest on. Leading with: Confidentiality duties bind independently of data protection law.